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MiniMax: MiniMax M3: AI model

MiniMax M3 is a native multimodal model with a 1M-token context and sparse attention for cheap long-context work. Accepting text, image and video, reachable from inside Iran through Hormouz.

Context window:
1,048,576 tokens
Input:
$0.3/1M tokens
Output:
$1.2/1M tokens
Type:
text, image, video
  • Vision
  • Tools
  • Streaming
  • Long context
Good for:Popular for Technology · #16Popular for Science · #17Ranks are based on global usage data

Thinking levels:

MiniMax M3 is a native multimodal foundation model that accepts text, image and video input and produces text output, with a 1M-token context window. It is aimed at long-horizon agentic work, coding and tool use.

It is built on MiniMax Sparse Attention, which replaces full attention with block-based key/value selection to cut per-token compute at long context. In practice this means much cheaper and faster processing at 1M tokens while keeping quality across most tasks, and it was tuned for multi-turn, production-style collaboration.

Pricing is usage-based: $0.3 per million input tokens and $1.2 per million output tokens. Hormouz provides stable access to MiniMax M3 from inside Iran, with no foreign credit card or circumvention tooling required.

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorMiniMax
TypeText, Image, Video
Context window1,048,576 tokens
Pricing$0.30/M in · $1.20/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

29.2
Intelligence Index
Better than 55% of models we compared
58.6
Coding Index
Better than 66% of models we compared
29.5
Agentic Index
Better than 67% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
92.9%
HLE
Humanity's Last Exam
39%
IFBench
Instruction-following
82.9%
AA-LCR
Long-context reasoning
83%
CritPt
Research-level physics reasoning
3.7%
AA Omniscience
Broad factual knowledge accuracy
16.7%
Non-Hallucination
Rate of avoiding fabricated answers
81.6%

Coding

SciCode
Python for scientific computing
47.1%
Terminal-Bench Hard
Agentic coding & terminal use
42.4%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
88.9%
GDPval
Economically valuable tasks
37.3%

Source: Artificial Analysis

Agentic Game Dev
Top 79%
1,158Elo
Win rate: 44.6%
Android Native
Top 62%
1,171Elo
Win rate: 44.3%
Full-Stack
Top 43%
1,196Elo
Win rate: 47.3%
HTML Slides
Top 52%
1,180Elo
Win rate: 46.6%
Mobile Apps
Top 52%
1,169Elo
Win rate: 46.3%
Python Slides
Top 44%
1,204Elo
Win rate: 46.8%
Web Apps
Top 52%
1,192Elo
Win rate: 47.1%
3D
Top 31%
1,219Elo
Win rate: 50.2%Avg time: 96.9s
ASCII Art
Top 46%
1,171Elo
Win rate: 46.8%Avg time: 73.2s
Code
Top 24%
1,254Elo
Win rate: 50.9%Avg time: 148s
Data Viz
Top 26%
1,244Elo
Win rate: 51.3%Avg time: 113s
Game Dev
Top 29%
1,225Elo
Win rate: 46%Avg time: 118s
SVG
Top 40%
1,161Elo
Win rate: 45.4%Avg time: 55.9s
UI Component
Top 27%
1,253Elo
Win rate: 50.9%Avg time: 132s
Website
Top 22%
1,264Elo
Win rate: 51.9%Avg time: 171s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="minimax/minimax-m3",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "minimax/minimax-m3",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the MiniMax: MiniMax M3 API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches MiniMax: MiniMax M3 and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Create an account

Use via Hormouz

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FAQ

How much does MiniMax M3 cost?
Billing is usage-based: $0.3 per million input tokens and $1.2 per million output tokens. There is no fixed monthly fee. You pay only for what you use, at the rates shown in the Hormouz dashboard.
How do I access MiniMax M3 from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to MiniMax M3 from inside Iran, with no foreign credit card or circumvention tooling required.
Is MiniMax M3 compatible with OpenAI code?
Yes. Hormouz exposes an OpenAI-compatible API. Just change the base URL to Hormouz and swap in your Hormouz key. Your existing OpenAI SDKs and code run without a rewrite.
Does MiniMax M3 support images and video?
Yes. M3 is a native multimodal model that accepts text, image and video input with text output. It uses sparse attention to make its 1M-token context cheaper and faster, and is tuned for long-horizon agentic and coding work.

Updated 2026-10-13